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Study of System Effectiveness Evaluation for Optical Imaging Reconnaissance Satellite Based on Fuzzy Theory

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Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 192))

Abstract

Evaluation of system effectiveness for optical imaging reconnaissance satellite (OIRS) is a tough issue which is multi-level and multi-factor. According to key parameters of OIRS, a system effectiveness evaluation model for OIRS is proposed in this paper which includes 4 levels and 13 main factors. The OIRS model was verified by using fuzzy comprehensive evaluation (FCE) method and some typical satellites (Geoeye-1, WorldView-1/2/3, Pleiades and Quickbird-2) were used as evaluating cases. The results showed that the OIRS model was effective. This model and FCE method are very useful for development research and planning of optical imaging satellites.

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References

  1. US Army Material Command, Engineer Design Handbook - Systems Analysis and Cost-effectiveness, Document AMCP 706-191, Washington:, pp. 2–18, 1971.

    Google Scholar 

  2. Weapon System Effectiveness. http://uir.unisa.ac.za/bitstream/handle/10500/1527/03Chapter3.pdf.

  3. R. Whitaker. “Criticisms of the Analytic Hierarchy Process: Why they often make no sense,” Mathematical and Computer Modelling, vol. 46, pp. 948–961, 2007.

    Google Scholar 

  4. L. Warren, “Uncertainties in the Analytic Hierarchy Process,” http://dspace.dsto.defence.gov.au/dspace/bitstream/1947/3553/1/DSTO-TN-0597%20PR.pdf.

  5. S. Chen. “Evaluating weapon systems using fuzzy arithmetic operations,” Fuzzy Sets and Systems, vol. 77, pp. 265–276, 1996.

    Google Scholar 

  6. M. Elhady, “Remote sensing satellite system overall effectiveness analysis and modeling,” IEEE Aerospace Conference, pp. 1–10, 2014.

    Google Scholar 

  7. DoD Directive 3100.10, “Space Policy,” pp. 12, 2012.

    Google Scholar 

  8. M.T. Trussell1, M.N. Martin, R.M. Ewart, “Resilience architecting and methodology development for the space enterprise,” AIAA SPACE 2015 Conference and Exposition, pp. 1–11, 2015.

    Google Scholar 

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Correspondence to Liu Tao .

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Tao, L. (2017). Study of System Effectiveness Evaluation for Optical Imaging Reconnaissance Satellite Based on Fuzzy Theory. In: Urbach, H., Zhang, G. (eds) 3rd International Symposium of Space Optical Instruments and Applications. Springer Proceedings in Physics, vol 192. Springer, Cham. https://doi.org/10.1007/978-3-319-49184-4_1

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